christof.rolker · PyLaia · Published October 2, 2026
Beneventana 1.7
Text Recognition
Description
Finetuning based on a model trained mainly from Vat. lat. 5845. Transcription follows https://catmus-guidelines.github.io/html/guidelines/en/generalites.html. GT was exported, reworked using escriptorium and other tools to conform Catmus rules, and reimported to Transkribus.
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Use this modelOpen in Transkribus
Low error rate5.21% CER
Character Error Rate (CER) measures the percentage of characters incorrectly recognised. Lower is better. This model scored 5.21% on its validation set. As a rule of thumb, a CER below 10% is considered good for most handwritten material.
Measured on the model's own validation data. Results on your documents may differ depending on handwriting style, document condition, language, and how closely your material resembles the training data.
Words15,036
Lines3,161
Training Pages55
Model ID643589